Post Covid-19 and business analytics

Nandy, Monomita and Lodh, Suman ORCID logoORCID: (2020) Post Covid-19 and business analytics. In: Intelligent Systems and Methods to Combat Covid-19. Joshi, Amit, Dey, Nilanjan and Santosh, K. C., eds. SpringerBriefs in Applied Sciences and Technology . Springer Singapore, pp. 83-91. pbk-ISBN 9789811565717, e-ISBN 9789811565724. [Book Section] (doi:10.1007/978-981-15-6572-4_10)

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This paper highlights the way companies can apply artificial intelligence (AI) in the post Covid-19 period. We show that how the AI can be advantageous to develop an inclusive model and apply to the businesses of various sizes. The recommendation can be beneficial for academic researchers to identify several ways to overcome the obstacles that companies may face in post Covid-19 period. The paper also addresses few major global issues, which can assist the policy makers to consider developing a business model to bounce back the world economy after this crisis is over. Overall, this paper enhances the understanding of stakeholders of business about the importance of application of the AI in businesses in a volatile market in post Covid-19 period.

Item Type: Book Section
Keywords (uncontrolled): Artificial Intelligence, Crisis, Covid-19, Artificial Neural Network, Coronavirus, Economic development
Research Areas: A. > Business School
A. > Business School > Accounting and Finance
Item ID: 29833
Notes on copyright: This is an author’s accepted manuscript version of a chapter published in Intelligent Systems and Methods to Combat Covid-19. The final authenticated version is available online at:
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Depositing User: Suman Lodh
Date Deposited: 11 May 2020 17:22
Last Modified: 29 Nov 2022 18:19

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